About the EventMastering Generative and Agentic AI: Creative Intelligence in ActionBasic to Advanced Tech Workshop by TechobytesIntroduction to Generative AIUnderstand what Generative AI (GenAI) isDistinguish between AI, Machine Learning, and Deep LearningDiscriminative AI vs. Generative AI & Agentic AIOverview of tools used in GenAIExplore privileged GenAI tools and modelsRoadmap to explore GenAI modelsGenerative ArchitecturesIntroduction to Generative Adversarial Networks (GANs)Learn about Generator and Discriminator modelsUnderstand how GANs are used in Deepfake modelsCompare Variational Autoencoders (VAEs) vs. GANsHands-on:Develop generative images using a complex GAN architectureBuild your own Deepfake model using a low-level GAN structureExplore the applications and limitations of GANsAttention Is All You Need – Transformers and LLMsWhat is a Transformer?Architecture of a TransformerText generation before TransformersAttention model vs. Multi-Head Attention vs. Scaled Dot-Product AttentionEncoder vs. Decoder architectureBatch Normalization vs. Layer NormalizationIntroduction to Hugging Face and its communityText generation after TransformersIntroduction to Large Language Models (LLMs)Popular LLMs: BERT, BART, DistilBERTHands-on:Conversational AI using pre-trained LLM modelsImage caption generator using pre-trained LLMsCustomized fine-tuning of BERT for Q&ACustomized fine-tuning of DistilBERTMastering Generative AI: Exploring the Frontiers of Generative ModelsLearn about GPT (Generative Pre-trained Transformers)Fine-tuning LLMs for specific tasks and evaluating modelsEfficient fine-tuning with PEFT (Parameter-Efficient Fine-Tuning)Vision Transformers (ViT)Learn the architecture of Vision TransformersUnderstand image vectorization, patch extraction, and positional encodingHands-on:Use pre-trained Google ViT models for image classificationCustomize ViT base architectureBuild your own multi-class ViT model and deploy it to Hugging Face using APIsReinforcement Learning From Human Feedback (RLHF)Deep dive into RLHFCollecting human feedbackReward modelingFine-tuning with reinforcement learningHow RLHF powers tools like ChatGPTGenAI with LangChain FrameworkWhat is LangChain?How does LangChain work?Integrating LangChain with LLMsLearn about endpoints, chains, and prompt templatesHands-on:Build a simple LLM application using Hugging Face APICreate a LangChain pipeline using PromptTemplate, AutoTokenizer, and LLMChainGenAI – Retrieval Augmented Generation (RAG)Explore tools in LangChain and initialize agents for data handlingBuild backend systems using VectorstoreChunk documents and create embeddings with LLMsExtract entities and store them in VectorstoreConstruct a search index and enable dynamic updates based on user queriesUse LangChain's chaining functionality to connect all componentsLunch is included during the workshop.CertificationAll participants will receive a globally recognized hardcopy certificate after the workshop.EligibilityOpen to all final-year students and learners from any academic stream:B.Tech, B.E., BCA, MCA, B.Sc IT, M.Sc IT, MBBS, MS, MD, Biomedical, Biotechnology, BBA, MBA, B.A., and hobbyists from all backgroundsKey Benefits✔️ Real-world use cases of GenAI in creative and business fields✔️ Hands-on experience with top GenAI platforms✔️ Industry-relevant curriculum curated by AI professionals✔️ Learn how to build and monetize using AI tools✔️ Network with innovators, creators, and recruiters
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